By Parul Pandey – 7 min read
Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.
Optimizing deep learning trading bots using state-of-the-art techniques
By Adam King – 16 min read
Let’s teach our deep RL agents to make even more money using feature engineering and Bayesian optimization
Advanced Topics in Deep Convolutional Neural Networks
By Matthew Stewart, PhD Researcher – 21 min read
Residual networks, saliency maps, dilated convolutions, and more.
What if AI model understanding were easy?
By Cassie Kozyrkov – 7 min read
See analytics-for-AI in action as I walk you through Google’s What-If Tool
Introduction to recommender systems
By Baptiste Rocca and Joseph Rocca – 22 min read
During the last few decades, with the rise of Youtube, Amazon, Netflix and many other such web services, recommender systems have taken more and more place in our lives.
Introduction to Graphs
By Maël Fabien – 10 min read
Main concepts, properties, and applications in Python
Architecture & Style
By Stanislas Chaillou – 16 min read
A New Frontier for AI in Architecture
Private AI – Federated Learning with PySyft and PyTorch
By André Macedo Farias – 7 min read
An application to SMS spam detection with a GRU model
Optimization with SciPy and application ideas to machine learning
By Tirthajyoti Sarkar – 11 min read
Optimization is often the final frontier, which needs to be conquered to deliver the real value, for a large variety of business and technological processes.
Asimov’s Laws of Robotics, and why AI may not abide by them
By Hans A. Gunnoo – 6 min read
"But what if we end up in a Terminator scenario?" One cannot be blamed for asking such questions since, through movies and sci-fi stories, cases where the robots take over are almost ubiquitous and therefore frame our impression of a future with Artificial Intelligence (AI).